International Journal of Computational Intelligence Systems

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Volume 10, Issue 1, 2017, Pages 1272 - 1279

Classifier Optimized for Resource-constrained Pervasive Systems and Energy-efficiency

Authors
Niklas Karvonen1, niklas.karvonen@ltu.se, Lara Lorna Jimenez1, lara.lorna.jimenez@ltu.se, Miguel Gomez Simon1, miguel.gomez.simon@ltu.se, Joakim Nilsson1, joanil@ltu.se, Basel Kikhia2, Basel.Kikhia@uia.no, Josef Hallberg1, josef.hallberg@ltu.se
1Computer Science Division, Lulea University of Technology, 971 87 Lulea, Sweden
2Faculty of Health and Sport Sciences, University of Agder, 4879 Grimstad, Norway
Received 27 February 2017, Accepted 15 May 2017, Available Online 30 May 2017.
DOI
10.2991/ijcis.10.1.86How to use a DOI?
Keywords
Classifier; Energy-saving; Parallel computing; FPGA; Microcontroller; Embedded
Abstract

Computational intelligence is often used in smart environment applications in order to determine a user’s context. Many computational intelligence algorithms are complex and resource-consuming which can be problematic for implementation devices such as FPGA:s, ASIC:s and low-level microcontrollers. These types of devices are, however, highly useful in pervasive and mobile computing due to their small size, energy-efficiency and ability to provide fast real-time responses. In this paper, we propose a classifier, CORPSE, specifically targeted for implementation in FPGA:s, ASIC:s or low-level microcontrollers. CORPSE has a small memory footprint, is computationally inexpensive, and is suitable for parallel processing. The classifier was evaluated on eight different datasets of various types. Our results show that CORPSE, despite its simplistic design, has comparable performance to some common machine learning algorithms. This makes the classifier a viable choice for use in pervasive systems that have limited resources, requires energy-efficiency, or have the need for fast real-time responses.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
10 - 1
Pages
1272 - 1279
Publication Date
2017/05/30
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.10.1.86How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Niklas Karvonen
AU  - Lara Lorna Jimenez
AU  - Miguel Gomez Simon
AU  - Joakim Nilsson
AU  - Basel Kikhia
AU  - Josef Hallberg
PY  - 2017
DA  - 2017/05/30
TI  - Classifier Optimized for Resource-constrained Pervasive Systems and Energy-efficiency
JO  - International Journal of Computational Intelligence Systems
SP  - 1272
EP  - 1279
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.10.1.86
DO  - 10.2991/ijcis.10.1.86
ID  - Karvonen2017
ER  -